Pengyang Wang

Venues

Frequent coauthors

Papers

1. Accelerating LLM Fine-Tuning via Embedding Knowledge Transfer
   ACL 2026 ·

   Meishu Peng

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2. Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning
   AAAI 2026 ·

   Yingde Lin

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3. RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems
   WSDM 2026 ·

   Ke Cheng

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4. Shift-Resilient Diffusive Imputation for Variable Subset Forecasting
   WWW 2026 ·

   Haihua Xu

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5. Auto Encoding Neural Process for Multi-interest Recommendation
   AAAI 2025 ·

   Yiheng Jiang

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6. BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation
   SIGKDD 2025 ·

   Haiyang Yu

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7. Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models
   AAAI 2025 ·

   Guang Huang

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8. Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
   ACL 2025 ·

   Hao Dong

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9. GCAL: Adapting Graph Models to Evolving Domain Shifts
   ICML 2025 ·

   Ziyue Qiao

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10. Generative Imputation with Multi-level Causal Consistency for Variable Subset Forecasting
    SIGKDD 2025 ·

    Qi Hao

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11. IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
    SIGKDD 2025 ·

    Wei Fan

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12. Imputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer
    SIGKDD 2025 ·

    Runchang Liang

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13. Mixture of Experts as Representation Learner for Deep Multi-View Clustering
    AAAI 2025 ·

    Yunhe Zhang

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14. Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
    AAAI 2025 ·

    Ran Zhang

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15. On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction
    SIGKDD 2025 ·

    Ke Cheng

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16. Rethinking Graph Contrastive Learning Through Relative Similarity Preservation
    IJCAI 2025 ·

    Zhiyuan Ning

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17. scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data
    IJCAI 2025 ·

    Ping Xu

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18. Decoupled Invariant Attention Network for Multivariate Time-series Forecasting
    IJCAI 2024 ·

    Haihua Xu

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19. Dual-stage Flows-based Generative Modeling for Traceable Urban Planning
    SDM 2024 ·

    Xuanming Hu

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20. DyGKT: Dynamic Graph Learning for Knowledge Tracing
    SIGKDD 2024 ·

    Ke Cheng

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21. FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
    IJCAI 2024 ·

    Zhiyuan Ning

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22. Hierarchical Reinforcement Learning for Point of Interest Recommendation
    IJCAI 2024 ·

    Yanan Xiao

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23. Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation
    IJCAI 2024 ·

    Lu Jiang

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24. Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
    IJCAI 2024 ·

    Yicheng Zhou

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25. PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment
    CIKM 2024 ·

    Zeyu Dong

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26. Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows
    IJCAI 2024 ·

    Xuanming Hu

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27. Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
    AAAI 2024 ·

    Zhaofan Zhang

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